Search result for Variables and data types Online Courses & Certifications
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Summary Statistics in Public Health
by John McGready, PhD, MS- 4.8
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Approx. 15 hours to complete
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. Data Types and Summarization Continuous Data Measures Comparing Distributions of Continuous Data Practice: Continuous Data Measures Continuous Data Measures Binary Data...
Healthcare Data Literacy
by Brian Paciotti- 4.5
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Approx. 13 hours to complete
This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions....
Structured Query Language (SQL) using SAS
by Peter Styliadis- 4.9
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Approx. 24 hours to complete
Course Overview and Data Setup Comparing SQL and the DATA Step Summarizing Date and Time Data Level 2 Practice: Grouping and Summarizing Data Selecting Data from More Than Two Tables Performing Left and Right Outer Joins Using and Creating Macro Variables in SQL Using and Creating Macro Variables in SQL Review...
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript
by Glenn Wilcox- 5
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Approx. 27 hours to complete
As our world is increasingly impacted by the use of algorithms, designers must learn how to use and create design computing programs. - The output of geometries in still and animate forms. data types - an introduction data types variables and data types quiz vectors |unitize and scale vector | add and subtract...
Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Data Acquisition and Understanding Features and transformations of raw data Data Acquisition and Understanding Review...
Detect and Mitigate Ethical Risks
by Renée Cummings , Jennifer Fischer , Eleanor 'Nell' Watson- 0.0
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Approx. 20 hours to complete
Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Evaluate Training Data and Models...
Big Data, Genes, and Medicine
by Isabelle Bichindaritz- 4.2
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Approx. 40 hours to complete
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. Genes and Data RNA and Proteins...
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Variable and Data types In Python,
by Pronoy Kumar- 2.7
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35 mins on-demand video
Learn and understand python from scratch and be able to write your own code. Penetration testers and cybersecurity analysts often get into the situation of having to do repetitive work that takes away precious time from their active focus. Examples of such situations can be scanning targets, doing intensive enumeration, subdomain discovery, reconnaissance, and more....
$12.99
Classification Models
by Ben Burkholder- 0.0
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Approx. 2 weeks
Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. lesson 3 Non-Binary Classification Models Learn how to use models to predict categorical data with three or more possible outcomes. Learn how to use decision tree forest and boosted models. Compare models and interpret results....
Free
Predictive Modeling with Logistic Regression using SAS
by Michael J Patetta- 4.5
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Approx. 17 hours to complete
This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. Set Up Data for This Course (REQUIRED) Splitting the Data for Model Training and Assessment Practice: Reducing Redundancy by Clustering Variables...
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